| | --- |
| | base_model: facebook/wav2vec2-base |
| | library_name: transformers |
| | license: apache-2.0 |
| | metrics: |
| | - accuracy |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Cafe_model |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Cafe_model |
| | |
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2158 |
| | - Accuracy: 0.4643 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 3e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | | No log | 0.8571 | 3 | 1.3714 | 0.3095 | |
| | | No log | 2.0 | 7 | 1.3197 | 0.3929 | |
| | | 1.3442 | 2.8571 | 10 | 1.2993 | 0.3571 | |
| | | 1.3442 | 4.0 | 14 | 1.2720 | 0.4881 | |
| | | 1.3442 | 4.8571 | 17 | 1.2573 | 0.4881 | |
| | | 1.2315 | 6.0 | 21 | 1.2405 | 0.4405 | |
| | | 1.2315 | 6.8571 | 24 | 1.2327 | 0.4167 | |
| | | 1.2315 | 8.0 | 28 | 1.2189 | 0.4762 | |
| | | 1.1119 | 8.5714 | 30 | 1.2158 | 0.4643 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.2 |
| | - Pytorch 2.5.0+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.19.1 |
| | |
